Python Developer for Notebook

Job ID: 40500242

Budget: $10 – $30 USD

I am looking for someone who understands:

Python / Pandas / NumPy
Financial time series
Macro indicators
Backtesting
Portfolio performance metrics
Optimization methods such as grid search, random search, or Optuna
Walk-forward testing / avoiding overfitting

Questions for Applicants

Please answer:

Have you built any Python financial backtest or quant research notebook before?
Have you worked with FRED or macroeconomic data?
How would you test different weights without overfitting?
What Python libraries would you use?
Can you share a relevant example of your previous work?

Related categories: Python Software Architecture Statistics Machine Learning (ML) Financial Analysis Statistical Analysis Data Science Data Analytics Data Visualization Data Analysis